Monitoring Crop Growth in the Us Corn Belt with SMOS Level 2 Tau

2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2018-03-01 DOI:10.1109/MICRORAD.2018.8430697

C. Lewis-Beck, Jarad Niemi, Petruta Caragea, B. Hornbuckle, Victoria A. Walker

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引用次数: 2

Abstract

The European Space Agency's Soil Moisture and Ocean Salinity (SMOS) satellite has recently been shown to measure variables containing information relevant to agronomists. SMOS was initially intended to monitor the water content of soil. However, a combination of SMOS's antenna technology and data processing algorithms make it possible to estimate the mass of water contained in vegetation tissue. Recent work by Hornbuckle et al. shows this new variable Τ roughly mirrors the growth and senescence of crops [1]. In this paper we analyze SMOS data from an intensively cultivated agricultural region in the Midweset to provide new information about crop phenology. In addition to modeling the seasonal pattern of crop growth, we estimate the day of the year when Τ reaches its peak. Because SMOS has a fine temporal resolution, the ability to model Τ during a growing season could be useful to understanding changes in crop development, climate conditions, as well as forecasting future growth cycles.

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利用SMOS水平2 Tau监测美国玉米带作物生长

欧洲航天局的土壤湿度和海洋盐度(SMOS)卫星最近被证明可以测量包含与农学家相关信息的变量。SMOS最初的目的是监测土壤含水量。然而，SMOS的天线技术和数据处理算法的结合使得估计植被组织中所含水分的质量成为可能。Hornbuckle等人最近的研究表明，这个新变量Τ大致反映了作物[1]的生长和衰老。本文对美国中西部集约化农业区的SMOS数据进行了分析，以期提供有关作物物候的新信息。除了模拟作物生长的季节性模式外，我们还估计了Τ达到峰值的日期。由于SMOS具有很好的时间分辨率，因此在生长季节模拟Τ的能力可能有助于了解作物发育、气候条件的变化，以及预测未来的生长周期。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)

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